Graph-Based Representations in Pattern Recognition [electronic resource] : 8th IAPR-TC-15 International Workshop, GbRPR 2011, Münster, Germany, May 18-20, 2011, Proceedings / edited by Xiaoyi Jiang, Miquel Ferrer, Andrea Torsello.
Contributor(s): Jiang, Xiaoyi [editor.]
| Ferrer, Miquel [editor.] | Torsello, Andrea [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 6658Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011Edition: 1st ed. 2011.Description: XI, 345 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642208447.Subject(s): Pattern recognition systems | Computer vision | Image processing -- Digital techniques | Computer graphics | Computer science -- Mathematics | Discrete mathematics | Artificial intelligence | Automated Pattern Recognition | Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics | Computer Graphics | Discrete Mathematics in Computer Science | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2011, held in Münster, Germany, in May 2011. The 34 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on graph-based representation and characterization, graph matching, classification, and querying, graph-based learning, graph-based segmentation, and applications.
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This book constitutes the refereed proceedings of the 8th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2011, held in Münster, Germany, in May 2011. The 34 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on graph-based representation and characterization, graph matching, classification, and querying, graph-based learning, graph-based segmentation, and applications.
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